David Vengerov

According to our database, David Vengerov authored at least 27 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart.

Chuanwei Ruan, Allan Stewart, Han Li, Ryan Ye, David Vengerov, Haixun Wang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2019

A Machine Learning Approach to Recommending Files in a Collaborative Work Environment.

David Vengerov, Sesh Jalagam

ACM SIGOPS Oper. Syst. Rev., 2019

2018

Placement of Virtual Containers on NUMA systems: A Practical and Comprehensive Model.

Justin R. Funston, Maxime Lorrillere, Alexandra Fedorova, Baptiste Lepers, David Vengerov, Jean-Pierre Lozi, Vivien Quéma

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

A Two-List Framework for Accurate Detection of Frequent Items in Data Streams.

David Vengerov

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017

Dynamic adaptation of user migration policies in distributed virtual environments.

David Vengerov

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Join Size Estimation Subject to Filter Conditions.

David Vengerov, Andre Cavalheiro Menck, Mohamed Zaït, Sunil Chakkappen

Proc. VLDB Endow., 2015

The judgment of forseti: economic utility for dynamic heap sizing of multiple runtimes.

Callum Cameron, Jeremy Singer, David Vengerov

Proceedings of the 2015 ACM SIGPLAN International Symposium on Memory Management, 2015

2011

FACT: a framework for adaptive contention-aware thread migrations.

Kishore Kumar Pusukuri, David Vengerov, Alexandra Fedorova, Vana Kalogeraki

Proceedings of the 8th Conference on Computing Frontiers, 2011

2010

Adaptive data-aware utility-based scheduling in resource-constrained systems.

David Vengerov, Lykomidis Mastroleon, Declan Murphy, Nicholas Bambos

J. Parallel Distributed Comput., 2010

2009

A reinforcement learning framework for utility-based scheduling in resource-constrained systems.

David Vengerov

Future Gener. Comput. Syst., 2009

Modeling, analysis and throughput optimization of a generational garbage collector.

David Vengerov

Proceedings of the 8th International Symposium on Memory Management, 2009

2008

A reinforcement learning framework for online data migration in hierarchical storage systems.

David Vengerov

J. Supercomput., 2008

A gradient-based reinforcement learning approach to dynamic pricing in partially-observable environments.

David Vengerov

Future Gener. Comput. Syst., 2008

2007

Comprehensive multivariate extrapolation modeling of multiprocessor cache miss rates.

Ilya Gluhovsky, David Vengerov, Brian O'Krafka

ACM Trans. Comput. Syst., 2007

Constrained Multivariate Extrapolation Models With Application to Computer Cache Rates.

Ilya Gluhovsky, David Vengerov

Technometrics, 2007

A reinforcement learning approach to dynamic resource allocation.

David Vengerov

Eng. Appl. Artif. Intell., 2007

2005

A fuzzy reinforcement learning approach to power control in wireless transmitters.

David Vengerov, Nicholas Bambos, Hamid R. Berenji

IEEE Trans. Syst. Man Cybern. Part B, 2005

A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results..

David Vengerov, Nikolai Iakovlev

Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

Adaptive Utility-Based Scheduling in Resource-Constrained Systems.

David Vengerov

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

Using gated experts in fault diagnosis and prognosis.

Hamid R. Berenji, Yan Wang, David Vengerov, Reza Langari, Mo M. Jamshidi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003

A convergent actor-critic-based FRL algorithm with application to power management of wireless transmitters.

Hamid R. Berenji, David Vengerov

IEEE Trans. Fuzzy Syst., 2003

Co-evolutionary perception-based reinforcement learning for sensor allocation in autonomous vehicles.

Hamid R. Berenji, David Vengerov, Jayesh Ametha

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Inductive learning for fault diagnosis.

Hamid R. Berenji, Jayesh Ametha, David Vengerov

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002

Adaptive coordination among fuzzy reinforcement learning agents performing distributed dynamic load balancing.

David Vengerov, Hamid R. Berenji, Alex Vengerov

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Using fuzzy reinforcement learning for power control in wireless transmitters.

David Vengerov, Hamid R. Berenji

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001

On Convergence of Fuzzy Reinforcement Learning.

Hamid R. Berenji, David Vengerov

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000

Advantages of cooperation between reinforcement learning agents in difficult stochastic problems.

Hamid R. Berenji, David Vengerov

Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000